{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li F"],"funding":["the Key Science and Technology Program of Xiaoshan"],"pagination":["1681"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11197263"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<h4>Background</h4>Traumatic fractures occur frequently worldwide. However, research remains limited on the association between short-term exposure to temperature and traumatic fractures. This study aims to explore the impact of apparent temperature (AT) on emergency visits (EVs) due to traumatic fractures.<h4>Methods</h4>Based on EVs data for traumatic fractures and the contemporary meteorological data, a generalized Poisson regression model along with a distributed lag nonlinear model (DLNM) were undertaken to determine the impact of AT on traumatic fracture EVs. Subgroup analysis by gender and age and sensitivity analysis were also performed.<h4>Results</h4>A total of 25,094 EVs for traumatic fractures were included in the study. We observed a wide \"J\"-shaped relationship between AT and"],"journal":["BMC public health"],"pubmed_title":["The impact of apparent temperature on the emergency visits for traumatic fractures in Hangzhou, China."],"pmcid":["PMC11197263"],"funding_grant_id":["2022215"],"pubmed_authors":["Tian J","Ji C","Chen J","Tan J","Li F","Zhao W","Gao J","Wu B","Yan S","Wu G","Li L","Yao W","Li M","Zhao Y","Niu Y","Liu X","Qiu Y","Pan G","Zhao M","Li Y","Zhu L","Tang X"],"additional_accession":[]},"is_claimable":false,"name":"The impact of apparent temperature on the emergency visits for traumatic fractures in Hangzhou, China.","description":"<h4>Background</h4>Traumatic fractures occur frequently worldwide. However, research remains limited on the association between short-term exposure to temperature and traumatic fractures. This study aims to explore the impact of apparent temperature (AT) on emergency visits (EVs) due to traumatic fractures.<h4>Methods</h4>Based on EVs data for traumatic fractures and the contemporary meteorological data, a generalized Poisson regression model along with a distributed lag nonlinear model (DLNM) were undertaken to determine the impact of AT on traumatic fracture EVs. Subgroup analysis by gender and age and sensitivity analysis were also performed.<h4>Results</h4>A total of 25,094 EVs for traumatic fractures were included in the study. We observed a wide \"J\"-shaped relationship between AT and","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jun","modification":"2025-04-03T22:11:48.497Z","creation":"2025-04-03T22:11:48.497Z"},"accession":"S-EPMC11197263","cross_references":{"pubmed":["38914979"],"doi":["10.1186/s12889-024-19119-z"]}}